The R&D biopharma facility of one of our key Global clients, who’s a key player in the rare diseases space in the US, were generating, processing and storing data in a complicated series of networks and standalone data islands. There was no ‘single source of truth’ with regards to their data plan. Their Data Strategy was not defined, and each platform was a customized solution resulting in increased timelines and costs in deployment and maintainability.
Complex searches required to gather specific data on batches with manual input required for reporting.
To address the data strategy challenges, a PI Core System was deployed in a Development/Sandbox environment.
The first part of this was the Development system which consisted of the PI Core elements such as the PI Data Archive, AF, Analytics, Notifications, PI Vision and RtReports.
Next, we deployed a PI Core System for Production which was documented and validated. This was a larger version of the Development system and included an application per server.
Finally, to pull in data from source systems, we completed a system readiness study.
The facility realized an amazing 50% increase over their previous rate of drug development. As a result, 6 research programs instead of 4
were undertaken during the same period.
From a cost perspective, there were significant reduced time in getting a new drug through from conception to clinical trials, which are costly and time consuming. Expensive audit findings were spared, and Scientists could analyse an experiment in 10 minutes or less. This led to a competitive
advantage in getting to market first over competitors.
